Sources of change in petroleum drilling productivity in onshore Louisiana in the US, 1977–1994

Iledare, Omowumi; Pulsipher, Allan G.

doi:10.1016/s0140-9883(99)00009-2

Cited by 27 publications

(21 citation statements)

References 5 publications

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“…This result suggests that better drilling choices are being made as seismic technology reduces the frequency of unsuccessful drilling. The cumulative drilling has positive impact on the number of well (Iledare and Pulsipher, 1999). The result suggests that learning effects have a greater influence on the number of wells drilled and its impact is larger than depletion effects.…”

Section: A2 Alternative Estimation Of Discovery Processmentioning

confidence: 90%

“…(2) could be decomposed into drilling effort model and yield per unit of drilling effort (YPE). Iledare and Pulsipher (1999) estimate the number of well and petroleum finding rate using regional aggregated data in the onshore Louisiana over 1977Louisiana over -1994. In drilling effort model, they use time as a proxy for technological progress and find its negative effects on the number of wells drilled.…”

Section: A2 Alternative Estimation Of Discovery Processmentioning

confidence: 99%

“…In petroleum finding model, time as a proxy for technological progress shows positive effects suggesting hydrocarbon reserve additions per successful effort increases with technological progress. The cumulative drilling on finding rate is negative suggesting diminishing returns as drilling increases (Iledare and Pulsipher, 1999). Using our field level data, we model the drilling effort and YPE (and finding rate).…”

Section: A2 Alternative Estimation Of Discovery Processmentioning

confidence: 99%

“… See Fisher (1964),Erickson and Spann (1971),Pindyck (1974),Iledare and Pulsipher (1999), andForbes and Zampelli (2000).…”

mentioning

confidence: 99%

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Technological change and petroleum exploration in the Gulf of Mexico

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Section: A2 Alternative Estimation Of Discovery Processmentioning

confidence: 90%

Section: A2 Alternative Estimation Of Discovery Processmentioning

confidence: 99%

Section: A2 Alternative Estimation Of Discovery Processmentioning

confidence: 99%

“… See Fisher (1964),Erickson and Spann (1971),Pindyck (1974),Iledare and Pulsipher (1999), andForbes and Zampelli (2000).…”

mentioning

confidence: 99%

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Technological change and petroleum exploration in the Gulf of Mexico

et al. 2005

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“…An assessment of variability is also included, thus providing an indication of the implicit uncertainty in models, observations and the bio-physical processes themselves. The sectors represent human activity in petroleum exploration and extraction, conservation, fisheries and coastal development (which were developed by drawing on work in Sainsbury 1988;McDonald 1991;Iledare and Pulsipher 1999). Key players in each of these sectors observe the natural system imperfectly and make decisions about levels and locations of their activities.…”

Section: Methodsmentioning

confidence: 99%

Complex Science for a Complex World: Exploring Human Ecosystems with Agents

Perez¹,

Batten²

2006

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List of figures 3.1. Belief-Desire-Intention (BDI) structure of a conative system 3.2. Passive and active perception systems. (Adapted from Ferber 1999) 3.3. Conative system and its two subsystems. (Adapted from: Ferber, 1999) 3.4. Structure of a Consumat agent 3.5. Traditional cycle of interactions during a companion modelling process 4.1. A simulated 100-week record of attendance at El Farol 5.1. Random graphs 5.2. Example of criticality phenomena in the evolution of graphs 5.3. Examples of complex networks 5.4. Erdös-Rényi model of random graph evolution 5.5. Different subgraphs appear at varying threshold probabilities in a random graph (After Albert and Barabási 2002) 5.6. Progressive transition between regular and random graphs 5.7. The Ruy Lopez opening line 5.8. Bobby Fischer's network of immediate opponents 5.9. Prisoners' Dilemma 5.10. The architecture of the Norms and Meta-norms games (After Axelrod 1986) 5.11. Simulation results 6.1. The relationship between the home base and the key sectors for Integration and Implementation Sciences 7.1. Housing development assessment methodology 7.2. The complex housing development system 7.3. Framework of interrelated models for housing development sustainability assessment 7.4. The Sustainability Scale 7.5. Cumulative distribution of mains water use exceeding the sustainability threshold level 7.6. Mains water use frequency distribution and the sustainability threshold level 7.7. Multi-agent representation of a housing development v 7.8. Christie Walk water model conceptualisation 7.9. Christie Walk CO 2 model conceptualisation 7.10. Christie Walk waste model conceptualisation 7.11. Christie Walk economic model conceptualisation 7.12. Christie Walk social model conceptualisation 7.13. Occupant behaviour categories for total waste production 7.14. Architectural plan of the Christie Walk development and the CORMAS model environment representation 7.15. Sustainability Scale Ratings for Christie Walk for the 5 indicators 7.16. Effect of waste production behaviour on waste sustainability 7.17. Effect of recycling behaviour on waste sustainability 7.18. Effect of water use behaviour on water sustainability 7.19. Effect of energy use behaviour on CO 2 sustainability 8.1. A coarse-grained view of NCMAA 8.2. wo-layer architecture in NCMAA 8.3. Influence Network for NCMAA in Warfare 8.4. Command and Control Hierarchy in WISDOM-II 8.5. Influence directions 8.6. Initial position 8.7. Damage of each force over time 8.8. Average degree and average path length of the blue and red communication network over time 8.9. Correlation coefficient between red damage and the knowledge correctness at agent level (left) and force level (right) (window size is 5) 9.1. Structure of the EIM model 9.2. Spatial visualisation of the environment: Quarantine response 9.3. Area infested, contractor scenario 9.4. Area infested, fertiliser scenario 9.5. Receipts per infested farm, contractor scenario 9.6. Receipts per infested farm, fertiliser scenario 10.1. SimDrug Class Diagram (designed with Visu...

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Elastic Oil: A Primer on the Economics of Exploration and Production

Mohn

2010

Energy, Natural Resources and Environmental Economics

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Sources of change in petroleum drilling productivity in onshore Louisiana in the US, 1977–1994

Cited by 27 publications

References 5 publications

Technological change and petroleum exploration in the Gulf of Mexico

Technological change and petroleum exploration in the Gulf of Mexico

Complex Science for a Complex World: Exploring Human Ecosystems with Agents

Elastic Oil: A Primer on the Economics of Exploration and Production

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